Software engineer in infrastructure observability

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

• Design and develop services and agents that provide deep visibility into a large server fleet and DC engineering systems
• Evolve our metrics/aggregation/alerting pipelines and improve signals quality
• Build maintenance workflows and automation that keep fleets healthy
• Investigate incidents hands-on (including on-host debugging) and drive root-cause fixes
• Collaborate with hardware, networking, and DC operations to improve reliability

• 5+ years of professional software engineering experience
• Excellent knowledge of Python and Golang or you are ready to quickly switch to these programming languages
• Strong Linux fundamentals
• Ability to write reliable code and and dig into complex problems
• Working proficiency in English
• Manage large-scale projects involving multiple stakeholders
• Break down complex tasks and guide both their own work and that of more junior colleagues
• Be experts in specific technologies and write high-quality code that can serve as a reference
• Assess task priority and focus on high-impact work, avoiding low-value efforts
• Have strong architectural thinking and contribute to system design
• Be involved in hiring and actively contribute to interviews
• Be willing to share knowledge and mentor others
• Будет плюсом: Solid understanding of modern server architecture, and its components; Experience with metrics/monitoring/alerting Prometheus-compatible stacks (like VictoriaMetrics); Good knowledge of computer networks; Experience designing, developing, and running high-load distributed systems

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI